Regression Model Training with Data Attribute Recommendation

A Regression Dataset Schema in Data Attribute Recommendation defines the structure of training data used for regression-based machine learning models. Developers use it to specify the format and fields of datasets before uploading training data to the Data Attribute Recommendation service. This schema ensures that the uploaded data conforms to the expected structure so the service can process and train models correctly.

Tutorials that teach this

Tutorial Use a Regression Dataset Schema to Upload Training Data to Data Attribute Recommendation beginner · 5 steps

Prerequisites

Concept Custom Dataset Schema Definition for ML **Data Attribute Recommendation** is an SAP AI service that developers use to predict missing or incorrect field values in business data records. It supports multiple use cases, including predicting missing sales order fields via the [Sales Order Completion Business Blueprint](https://developers.sap.com/tutorials/cp-aibus-dar-sdk-soc.html), recommending financial objects via the Invoice Object Recommendation Business Blueprint, classifying records, and performing regression-based predictions. Developers can work with built-in business blueprints, custom dataset schemas, or their own datasets, and can consume the service through the AI API from SAP AI Core.

Regression Model Training with Data Attribute Recommendation

Tutorials that teach this

Prerequisites

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